{"id":"W4301396298","doi":"10.20473/baki.v7i2.36183","title":"EFFICIENCY ANALYSIS OF CONVENTIONAL BANKS AND ISLAMIC BANKS BEFORE AND DURING COVID-19","year":2022,"lang":"en","type":"article","venue":"Berkala Akuntansi dan Keuangan Indonesia","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Islam; Business; Pandemic; 2019-20 coronavirus outbreak; Frontier; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Efficient frontier; Islamic banking; Financial system; Medicine; Finance; Virology; Geography; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001866274,0.0001757137,0.000293353,0.00134795,0.0004070369,0.001677938,0.0003173602,0.0004289762,0.003605336],"category_scores_gemma":[0.006230338,0.000127755,0.0003156442,0.00152906,0.0006652733,0.001571745,0.0008014835,0.0005501448,0.0004695775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542384,"about_ca_system_score_gemma":0.001175183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006934943,"about_ca_topic_score_gemma":0.007183633,"domain_scores_codex":[0.9985769,0.0003077819,0.0001166106,0.0001922147,0.0003623315,0.0004441432],"domain_scores_gemma":[0.9922191,0.002396471,0.00306587,0.0003063031,0.001460704,0.0005516747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002795501,0.0001884787,0.9538349,0.00006721172,0.00008859891,0.0003172244,0.001647763,0.007728066,0.0008535353,0.006335626,0.002036984,0.02662216],"study_design_scores_gemma":[0.000006870654,0.00009386544,0.9859115,0.00002962377,0.00002438264,0.0001078058,0.004096718,0.005478594,0.0005741629,0.001241963,0.002419564,0.00001497608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924431,0.0002806027,0.001125834,0.0003032577,0.00000646266,0.00001852023,0.0003914609,0.000006029936,0.005424506],"genre_scores_gemma":[0.9984286,0.00007605283,0.0001532761,0.00001592024,0.000005424684,0.000007532477,0.000244627,0.000002041506,0.001066441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006934943,"threshold_uncertainty_score":0.01378918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232905486970063,"score_gpt":0.2790753968866863,"score_spread":0.2667463420169857,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}